AI Engineer

Umain AB

At Umain, we're not just creating software; we're crafting the future, one innovative project at a time. With our motto "Shape, Ship, Scale," we empower our team to not only envision the future but also play a pivotal role in building it. We're a dynamic team where you can shape the future, ship groundbreaking solutions, and scale your abilities in many different ways. We're on the lookout for developers ready to join us in this journey, bringing passion, creativity, and dedication along with them. The role is ideal for engineers with demonstrable skills in AI as well as for software engineers who have recently transitioned to AI and ML expertise, and offers an opportunity to develop your craft whilst working closely with clients on delivering AI solutions to real-world challenges. We are seeking an AI Engineer with experience in building robust, scaleable, AI powered solutions. The ideal candidate combines a product engineering mindset with a deep enthusiasm for advancing AI capabilities. They demonstrate a great understanding of core AI concepts, product development workflows, and embodies team spirit. As an AI Engineer at Umain, your role will involve: Assisting our clients in clarifying their questions and determining if using AI is a suitable solution for them You understand the limitations of a model and how to address them within the product's UX Experience architecting agentic solutions (context, memory, and tool/skill handling) and implementing them using frameworks such as Mastra, Microsoft Agent Framework, LangChain/LangGraph. Applying stochastic test casing and trace-based reasoning to evaluate, test, and improve agent behaviour, supported by observability tooling (Langfuse, Promptfoo, etc.). Understanding and applying core AI concepts such as redlining, document chunking for accuracy, efficient use of embeddings, and debugging AI systems Validating, deploying, monitoring, and maintaining built models, ensuring they can be used at scale Developing and maintaining end-to-end data pipelines and machine learning workflows, optimizing for performance and reliability Working with diverse, cross-functional teams on projects that deliver groundbreaking AI solutions for global brands We also welcome experienced software engineers looking to transition into AI: Strong product development background with several years of software engineering experience Active engagement in AI (agents, wrappers, context engineering) Knows how to work efficiently in a product/engineering team Who You Are: We value candidates who demonstrate: Great delivery skills: Proven capability to deliver AI solutions Strong AI intuition: A deep understanding of AI concepts Curiosity: Enthusiasm for emerging technologies, creativity in problem-solving, and an eagerness to learn in a rapidly evolving AI landscape Full-stack product thinking: Frontend or backend experience outside the traditional AI field, with the ability to build end-to-end You're a developer with a passion for innovation and a knack for problem-solving. You're eager to learn, grow, and take on new challenges. You value collaboration, diversity, and the opportunity to make a significant impact. You believe in the power of technology to shape the future. What We Offer: A chance to work closely with global brands on a range of diverse and unique projects that explore and truly push the boundaries of what's possible. A fun and fair work environment where you have the opportunity to expand your skills through unique challenges and fantastic colleagues. A personal coach, and a setting where you can grow professionally and personally. Being part of multidisciplinary teams, participating in agile teams, being an important player in a highly ambitious setting. Why Umain? Career Framework: We believe in fairness and clarity, which is why we've established a transparent career framework to ensure equal pay and equal opportunities for all. Your growth and success are as important to us as they are to you. Together with your coach, you will build your own development plan and grow in your career. Work-Life Balance: At Umain, diversity is our strength. We understand that life doesn't pause when you walk into the office. That's why we've cultivated an environment that supports an excellent work-life balance. We welcome team members from all walks of life, recognizing the richness that different backgrounds, ages, and life stages bring to our team. We're committed to supporting each other, encouraging a healthy work-life balance that respects your needs, whether it's taking care of your family, your pets, or yourself. Innovations and Learning: Technology is always evolving, bringing new challenges and opportunities for collaboration and learning. Our developers work closely with designers, analysts, testers and more to tackle these challenges head-on, sharing knowledge and growing together. Skills Over Degrees: We're more interested in what you can do than in the diplomas you hold. Talent, drive, and creativity are what count at Umain. Here, you'll find opportunities to grow, learn, and excel in your career, regardless of your educational background. If you have the ambition and commitment to succeed, we have the environment and resources to support your journey. Background Check: Umain conducts a background check for final candidates in accordance with our internal policies. The check is carried out only with your consent and is ordered by our CISO through our approved screening partner. The scope of the check depends on the role level. This step is performed late in the recruitment process and is used solely to support a secure and fact-based hiring decision.

Adaptyv Bio

Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE We already use AI across every part of the company — business operations automation, data analysis and reporting, AI-driven review of customer experiment data, agentic workflows for lab scheduling and customer communication, and a lab-wide assistant the team leans on. The capabilities largely exist. What's missing is someone whose entire job is taking what we've already built and making it successful: wrapped, installable, wired into the tools people use every day, and turned into the default way the company works. This is an internal-facing role focused on process optimization. You won't spend most of your time inventing new features — you'll take the capabilities that already exist across LabOS, our internal APIs, and our AI systems and make them genuinely easy to access, reliable, and adopted. The win condition is the rest of the company moving faster because the thing you built became the obvious option. In a given week, that might mean: * Wrapping our internal APIs (lab orchestration, instrument automation, experiment data) into clean, installable SDKs and MCP servers so agents and teammates can plug into them in minutes instead of reverse-engineering endpoints * Building and improving our lab-wide assistant — its system prompt, its skills, and the integrations that let it actually act through our APIs rather than just talk about it * Turning manual business processes into agents and workflows: procurement alerts, invoice reconciliation, revenue and reporting pipelines, customer update drafting * Pulling together experiment, commercial, and operational data to answer questions and surface insights the team would otherwise miss — the analysis nobody has time to do by hand * Taking a powerful-but-buried capability and making it the new default — packaging it, documenting it, putting it where people already work, and making sure it actually gets used * Setting up evals, observability, and monitoring so the systems you build and the models you use perform as expected and catch regressions automatically This is not an ML research role. You won't be training protein language models or publishing papers. You'll be building the applied AI systems, internal tooling, and glue that make a small, fast-moving team operate like one ten times its size. WHAT WE'RE LOOKING FOR * Strong software engineering fundamentals. You build production systems, not notebooks. TypeScript or Python at minimum — but ideally language doesn't matter to you, and you're comfortable in both. * Deep hands-on experience with LLMs and agentic patterns — knowing when and how to apply function calling, tool use, multi-step workflows, MCP, and retrieval to create value. You've shipped real systems, not wrappers around chat completions. * A platform instinct. You like taking something that works for one person and turning it into something the whole team can install and use — good defaults, clean interfaces, and docs that mean nobody has to ask you how it works. * Process-to-agent instinct. You look at a manual business process and immediately see where an agent or workflow would do it better. Then you build it, test it, and hand it over by Friday. * Fluent with data. You can dive into a messy database or spreadsheet, pull the right numbers, and turn them into an answer, a dashboard, or an automated report. SQL and a notebook/BI habit are second nature. * Comfortable working across every team. You'll talk to lab scientists about data review, to ops about procurement, to the commercial team about customer workflows. The AI touches everything. * Ships fast, owns the result. You prototype in a day, get feedback, iterate. And you're responsible for everything your agents produce — shipping fast does not mean dumping slop on the rest of the team. Your systems are maintainable and you can strike the right tradeoff between moving fast now and moving fast in the future. * Curious about biology. No background required, but you should find it genuinely interesting that we're building infrastructure for AI to run experiments in the physical world. Application deadline We are reviewing applicants on a rolling basis.

AE

De komende tien jaar bepaalt AI het wat en hoe van organisaties. Data & AI spelen samen een cruciale rol. AE staat op de eerste rij om te bepalen hoe die transformatie er uit gaat zien. Onze klanten geven we een end-to-end aanpak: we bouwen de technologie, nemen de mensen er in mee en gaan voor strategische impact. Dat doen we met mensen die hun werk graag doen en er nog eens goed in zijn ook. Bij ons bepaal je zelf waar jouw skills het beste tot hun recht komen. Wij zoeken collega's die hun vak verstaan, die met goesting werken en meebouwen aan een verhaal waar ze ook zelf in geloven. Wij maken elkaar sterker.     Als AI Engineer bouw je AI-oplossingen van POC tot productie en denk je aan de integratie in bredere architecturen. Je weet wanneer AI zinvol is en maakt de juiste afwegingen. Je werkt iteratief, denkt mee met de business en neemt verantwoordelijkheid voor wat je bouwt.